Details

Autor(en) / Beteiligte

• Guo, Lei
• Lu, Huan
• Huang, Fengrong
• Shi, Hongyi

Titel

Study of dynamic characteristics of scale-free spiking neural networks based on synaptic plasticity

Ist Teil von

• Sheng wu yi xue gong cheng xue za zhi, 2019-12, Vol.36 (6), p.902

Ort / Verlag

China

Erscheinungsjahr

2019

Quelle

MEDLINE

Beschreibungen/Notizen

• Biological neural networks have dual properties of small-world attributes and scale-free attributes. Most of the current researches on neural networks are based on small-world networks or scale-free networks with lower clustering coefficient, however, the real brain network is a scale-free network with small-world attributes. In this paper, a scale-free spiking neural network with high clustering coefficient and small-world attribute was constructed. The dynamic evolution process was analyzed from three aspects: synaptic regulation process, firing characteristics and complex network characteristics. The experimental results show that, as time goes by, the synaptic strength gradually decreases and tends to be stable. As a result, the connection strength of the network decreases and tends to be stable; the firing rate of neurons gradually decreases and tends to be stable, and the synchronization becomes worse; the local information transmission efficiency is stable, the global information transmission efficienc